Isabelle Augenstein
Professor
Natural Language Processing
Universitetsparken 1, 2100 København Ø
I am an associate professor at the University of Copenhagen, Department of Computer Science and work in the general areas of Statistical Natural Language Processing and Machine Learning. I head the Copenhagen NLU research group, and am affiliated with the Machine Learning Section. My main research interests are weakly supervised and low-resource learning with applications including fact checking and explainable AI.
Before starting a faculty position, I was a postdoctoral research associate in Sebastian Riedel's UCL Machine Reading group, mainly investigating machine reading from scientific articles. Prior to that, I was a Research Associate in the Sheffield NLP group, a PhD Student in the University of Sheffield Computer Science department, a Research Assistant at AIFB, Karlsruhe Institute of Technology and a Computational Linguistics undergraduate student at the Department of Computational Linguistics, Heidelberg University.
I co-organise the Copenhagen NLP meetup, maintain the BIG Directory of members of underrepresented groups and supporters in Natural Language Processing and am president of the ACL Special Interest Group on Representation Learning (SIGREP).
For more information, please see my personal website.
ID: 180388519
Flest downloads
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1423
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Mapping (Dis-)Information Flow about the MH17 Plane Crash
Publikation: Konferencebidrag › Paper › Forskning
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288
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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Udgivet -
195
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Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt
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